@article{MTMT:34448114, title = {Optimal Selection of Switch Model Parameters for ADC-Based Power Converters}, url = {https://m2.mtmt.hu/api/publication/34448114}, author = {Alsarayreh, Saif and Sütő, Zoltán}, doi = {10.3390/en17010056}, journal-iso = {ENERGIES}, journal = {ENERGIES}, volume = {17}, unique-id = {34448114}, issn = {1996-1073}, abstract = {Real-time hardware-in-the-loop-(HIL) simulation integration is now a fundamental component of the power electronics control design cycle. This integration is required to test the efficacy of controller implementations. Even though hardware-in-the-loop-(HIL) tools use FPGA devices with computing power that is rapidly evolving, developers constantly need to balance the ease of deploying models with acceptable accuracy. This study introduces a methodology for implementing a full-bridge inverter and buck converter utilising the associate-discrete-circuit-(ADC) model, which is optimised for real-time simulator applications. Additionally, this work introduces a new approach for choosing ADC parameter values by using the artificial-bee-colony-(ABC) algorithm, the firefly algorithm (FFA), and the genetic algorithm (GA). The implementation of the ADC-based model enables the development of a consistent architecture in simulation, regardless of the states of the switches. The simulation results demonstrate the efficacy of the proposed methodology in selecting optimal parameters for an ADC-switch-based full-bridge inverter and buck converter. These results indicate a reduction in overshoot and settling time observed in both the output voltage and current of the chosen topologies.}, year = {2024}, eissn = {1996-1073} } @inproceedings{MTMT:34524666, title = {Fault Diagnosis Using Artificial Neural Network for Two-Level VSI in PMSM Drive System}, url = {https://m2.mtmt.hu/api/publication/34524666}, author = {Alsarayreh, Saif and Sütő, Zoltán}, booktitle = {2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)}, doi = {10.1109/ICECET58911.2023.10389501}, unique-id = {34524666}, abstract = {A permanent magnet synchronous motor's (PMSM) drive system depends heavily on the voltage source inverter (VSI). However, the VSI shows vulnerability to faults during operation, especially when it comes to open circuit switch faults, which are the most frequent and have the most significant negative impact on the drive system. In order to diagnose Open Circuit Faults (OCF) in the Voltage Source Inverter (VSI) of a three-phase permanent magnet synchronous motor drive system, this work employs the vector average current technique in Clark's transformation and an artificial neural network. Diagnostic variables are computed based on the current distortion to gather details about the fault. An artificial neural network (ANN) is put to use to process the fault information in order to determine and locate the specific location of the faulty switch. The study's simulation results show that the methodology employed effectively identifies and localises open circuit faults in a two-level, three-phase inverter. © 2023 IEEE.}, keywords = {artificial neural network; Fault detection; permanent magnet synchronous motor; Voltage source Inverter; Open circuit fault}, year = {2023} } @inproceedings{MTMT:34524664, title = {Optimal Selection of Switch Model Parameters for ADC-Based Full-Bridge Converter}, url = {https://m2.mtmt.hu/api/publication/34524664}, author = {Alsarayreh, Saif and Sütő, Zoltán}, booktitle = {2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)}, doi = {10.1109/ICECET58911.2023.10389213}, unique-id = {34524664}, abstract = {The incorporation of real-time Hardware-In-the-Loop (HIL) simulators has become one of the pillars of the power electronics control design cycle. This integration is necessary to verify the effectiveness of controller implementations. Despite the rapid evolution in FPGA devices' computational capacity employed by Hardware-in-the-Loop (HIL) tools, developers are consistently faced with the need to strike a balance between acceptable accuracy and the practicality of implementing models and techniques. The methodology presented in this paper is for implementing a full-bridge converter using the Associate Discrete Circuit (ADC) model, specifically designed for real-time simulator applications. Furthermore, this study presents a novel methodology for parameter selection of (ADC) parameters utilizing the Artificial Bee Colony algorithm (ABC). The utilization of the ADC-based model facilitates the establishment of a uniform converter topology during simulation, irrespective of the switch states. The simulation results demonstrate the effectiveness of the introduced methodology in selecting optimal parameters for an ADC switch-based full-bridge converter, reducing overshoot in the converter's output voltage and current. © 2023 IEEE.}, keywords = {Real-time simulation; field-programmable gate array; Optimization Algorithm; Artificial bee colony; full-bridge converter; Terms-Associate Discrete Circuit}, year = {2023} } @article{MTMT:34069723, title = {Real-time Simulation Framework for Validating Controllers of Virtual Synchronous Generators}, url = {https://m2.mtmt.hu/api/publication/34069723}, author = {CHOWDHURY, MD MOSHIUR and Stranyóczky, László and Sütő, Zoltán}, doi = {10.24084/repqj21.299}, journal-iso = {RENEWABLE ENERGY & POWER QUALITY J}, journal = {RENEWABLE ENERGY & POWER QUALITY JOURNAL}, volume = {21}, unique-id = {34069723}, year = {2023}, eissn = {2172-038X}, pages = {286-291} } @article{MTMT:34069715, title = {Development and testing midpoint voltage balance algorithms of three-level inverters}, url = {https://m2.mtmt.hu/api/publication/34069715}, author = {Stranyóczky, László and Sütő, Zoltán and Balogh, Attila and Varjasi, István}, doi = {10.24084/repqj21.382}, journal-iso = {RENEWABLE ENERGY & POWER QUALITY J}, journal = {RENEWABLE ENERGY & POWER QUALITY JOURNAL}, volume = {21}, unique-id = {34069715}, year = {2023}, eissn = {2172-038X}, pages = {521-526} } @inproceedings{MTMT:33794709, title = {Real-Time Validation of Quadratic Regression Model-Based Predictive Control of Grid-Side Converters}, url = {https://m2.mtmt.hu/api/publication/33794709}, author = {Bándy, Kristóf Gábor and Stumpf, Péter Pál and CHOWDHURY, MD MOSHIUR and Sütő, Zoltán}, booktitle = {2023 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2023}, doi = {10.30420/566091327}, unique-id = {33794709}, abstract = {A quadratic regression model-based predictive control method is presented for grid-side converters. The control scheme calculates the cost function for seven voltage vectors of the inverter and extends it to the entire modulation region using regression. Then a constrained optimization problem must be solved to find the most feasible control action in this continuous control space. The found optimal voltage vector can be generated using Pulse-Width Modulation methods. The control method is validated in a custom Hardware-in-the-Loop environment using model-based rapid-prototyping tools of Matlab/Simulink. Measurement results show the viability of the method. © VDE VERLAG GMBH · Berlin · Offenbach.}, year = {2023}, pages = {2368-2375}, orcid-numbers = {Bándy, Kristóf Gábor/0000-0002-6003-753X} } @inproceedings{MTMT:34448117, title = {Analysis of PMSM emulation using a three-Phase inverter with LCL output filter}, url = {https://m2.mtmt.hu/api/publication/34448117}, author = {Alsarayreh, Saif and Sütő, Zoltán}, booktitle = {Proceedings of the Automation and Applied Computer Science Workshop 2022 (AACS'22)}, unique-id = {34448117}, year = {2022}, pages = {135-146} } @inproceedings{MTMT:33113371, title = {Validation of real-Time simulation model of a three-phase Active-Front-End (AFE) rectifier}, url = {https://m2.mtmt.hu/api/publication/33113371}, author = {CHOWDHURY, MD MOSHIUR and Sütő, Zoltán}, booktitle = {2022 8th International Youth Conference on Energy (IYCE)}, doi = {10.1109/IYCE54153.2022.9857546}, unique-id = {33113371}, abstract = {Active rectifiers are commonly used converters in interfacing AC and DC grids due to their bidirectional power flow capabilities. Nowadays the development workflow of power converters includes real-time simulation steps to validate control concepts with hardware implementation in a safe environment. The paper presents the development process of a real-time HIL simulation framework for rapid-prototyping of advanced control algorithms of an Active-Front-End (AFE) rectifier. The control concepts and the main circuit models are realized in Matlab/Simulink and fitted for code-generation.}, year = {2022} } @{MTMT:33078101, title = {Adaptive Dead Time Compensation for Continuous Cross-Period Single Phase Shift Control of Dual Active Bridge Converters}, url = {https://m2.mtmt.hu/api/publication/33078101}, author = {Veréb, Szabolcs and Futó, András and Sütő, Zoltán and Balogh, Attila and Varjasi, István}, booktitle = {20th International Conference on Renewable Energies and Power Quality (ICREPQ'22)}, unique-id = {33078101}, year = {2022} } @article{MTMT:33078098, title = {Adaptive Dead Time Compensation for Continuous Cross-Period Single Phase Shift Control of Dual Active Bridge Converters}, url = {https://m2.mtmt.hu/api/publication/33078098}, author = {Veréb, Szabolcs and Futó, András and Sütő, Zoltán and Balogh, Attila and Varjasi, István}, doi = {10.24084/repqj20.278}, journal-iso = {RENEWABLE ENERGY & POWER QUALITY J}, journal = {RENEWABLE ENERGY & POWER QUALITY JOURNAL}, volume = {20}, unique-id = {33078098}, abstract = {The load transient response of a power converter is an important property, especially in a test equipment application. The dynamic behavior of a dual active bridge converter mainly depends on the switching frequency, the transformer leakage inductance, and the capacitor bank size. Using the Continuous Cross-Period Single Phase-Shift control, an excellent load transient response can be achieved without the need for expensive hardware components. However, in practical applications, the switch delay and the required inserted dead time distort the current waveform, increasing the electromagnetic noise. i}, year = {2022}, eissn = {2172-038X}, pages = {256-262} }